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Vetted Workflow Orchestration Professionals
Pre-screened and vetted.
Senior ML Engineer specializing in AI platforms for healthcare and FinTech
Senior Backend Engineer specializing in Python and AWS cloud-native systems
Mid-level Full-Stack Engineer specializing in .NET, Azure, and data engineering
Mid-level Data Engineer specializing in real-time streaming pipelines and healthcare data
Senior Python Backend Engineer specializing in AWS, APIs, and data pipelines
Intern Software Engineer specializing in ML infrastructure and distributed systems
Senior Software Engineer specializing in data pipelines and financial data platforms
Executive technology leader specializing in AI-native platforms and data infrastructure
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Intern Full-Stack/AI Engineer specializing in LLM applications and cloud-native web systems
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Mid-level Software Engineer specializing in backend systems and cloud platforms
Senior Backend Software Engineer specializing in FinTech and distributed systems
Sudheer koki
Mid-level AI/ML Engineer specializing in predictive modeling, data pipelines, and RAG systems
“Built and productionized an LLM-powered internal knowledge search system in a regulated environment, using embeddings/vector DB retrieval with strict grounding and confidence gating to reduce hallucinations. Reported ~45% accuracy improvement over keyword search and implemented end-to-end orchestration, monitoring, CI/CD, and incremental re-indexing to manage latency and data freshness while driving adoption with business stakeholders.”
Deepika Chudi
Mid-level Full-Stack Engineer specializing in React, TypeScript, and Spring Boot
“Full-stack engineer with strong Next.js App Router/TypeScript experience who built production dataset search/filtering and data-heavy dashboards backed by Postgres. Demonstrates hands-on performance work across the stack (EXPLAIN ANALYZE, composite indexes, caching, React profiling/memoization) and has built durable, Temporal-like orchestrated data-processing workflows with idempotency and retry strategies in an early-stage startup environment (Gaia AI).”
sriram Yalamati
Mid-level Data Engineer specializing in healthcare data platforms and MLOps
“ML/NLP practitioner with healthcare payer experience at HCSC, focused on connecting messy unstructured clinical notes to structured claims/provider data to improve fraud-analytics workflows. Has hands-on experience fine-tuning transformers in AWS SageMaker, building large-scale embedding search with FAISS, and implementing robust entity resolution using golden datasets, precision/recall calibration, and production monitoring for drift.”
Abhishek Gupta
Mid-level Full-Stack Developer specializing in AI automation and RAG pipelines
“Frontend engineer who has led mobile-first and web React/TypeScript products end-to-end, including an expense tracking app handling sensitive financial data and a real-time messaging/activity dashboard with chat, presence, and contextual side panels. Emphasizes scalable architecture, rigorous component-boundary testing, and production-safe rollout practices (feature flags, analytics/logging, staged releases) to ship reliably in fast-paced environments.”